Job Description - Azure AI/M365 Copilot Search Architect
**Key Responsibilities**
- Design and implement enterprise GenAI search architectures leveraging Azure AI Search and Microsoft 365 Copilot search to deliver reliable, scalable, and intelligent discovery experiences across the organization.
- Architect retrieval-augmented generation (RAG) patterns and semantic search solutions, selecting appropriate vector search, hybrid ranking, and grounding strategies for enterprise knowledge bases.
- Analyze business requirements from diverse stakeholder groups and translate them into detailed search solution designs that balance relevance, latency, security, and cost.
- Configure and optimize indexing pipelines for structured and unstructured data, ensuring consistent ingestion, enrichment, skillset application, and normalization across multiple content repositories.
- Develop search relevance strategies including semantic ranking, vector embeddings, scoring profiles, synonym management, and domain-specific tuning to improve precision and recall for business-critical queries.
- Configure Microsoft 365 Copilot search connectors, semantic index integration, and Graph-based retrieval to surface organizational knowledge within Copilot experiences.
- Collaborate with application engineering teams to integrate search and GenAI capabilities into web portals, internal tools, and customer-facing applications using appropriate SDKs and APIs.
- Define and implement security and access models, ensuring search results respect data access policies, sensitivity labels, regulatory constraints, and privacy requirements.
- Lead client-facing architecture and consulting engagements, presenting solution designs, conducting technical workshops, and advising stakeholders on GenAI search strategy and roadmap.
- Monitor search system health by tracking relevance metrics, query latency, index freshness, and grounding quality, and recommend remediation to maintain high availability.
- Conduct capacity planning and performance testing for search and GenAI workloads, predicting growth patterns and optimizing resource utilization across cloud environments.
- Create detailed technical documentation for architectures, configurations, and runbooks, enabling operations teams to support and evolve search platforms efficiently.
- Provide guidance on migration strategies from legacy search platforms to Azure AI Search and Copilot-based solutions, minimizing disruption and ensuring continuity of critical services.
- Mentor junior engineers and architects on GenAI search technologies, design patterns, and best practices, fostering a culture of technical excellence and knowledge sharing.
**Required Skills**
- Hands-on expertise with Azure AI Search (index design, skillsets, semantic and vector search, scoring profiles).
- Hands-on experience with Microsoft 365 Copilot search, Graph connectors, and semantic index integration.
- Proven experience designing GenAI search solutions, including RAG architectures and embedding-based retrieval.
- Strong background in search architecture and solution design for enterprise environments.
- Demonstrated client-facing architecture and consulting engagement experience.
The Key Skills are Azure AI Search, Microsoft 365 Copilot Search
along with GenAI search solutions, Search Architecture , Solution Design, Client-facing architecture, and consulting engagements.
Tech Filter :
Skill/ Position title Sub skills and details Requirement Level of hire Location
Azure AI/M365 Copilot Search Architect Total exp 5-10+ Years M PAN India
Responsibilities
Job Description - Azure AI/M365 Copilot Search Architect
**Key Responsibilities**
- Design and implement enterprise GenAI search architectures leveraging Azure AI Search and Microsoft 365 Copilot search to deliver reliable, scalable, and intelligent discovery experiences across the organization.
- Architect retrieval-augmented generation (RAG) patterns and semantic search solutions, selecting appropriate vector search, hybrid ranking, and grounding strategies for enterprise knowledge bases.
- Analyze business requirements from diverse stakeholder groups and translate them into detailed search solution designs that balance relevance, latency, security, and cost.
- Configure and optimize indexing pipelines for structured and unstructured data, ensuring consistent ingestion, enrichment, skillset application, and normalization across multiple content repositories.
- Develop search relevance strategies including semantic ranking, vector embeddings, scoring profiles, synonym management, and domain-specific tuning to improve precision and recall for business-critical queries.
- Configure Microsoft 365 Copilot search connectors, semantic index integration, and Graph-based retrieval to surface organizational knowledge within Copilot experiences.
- Collaborate with application engineering teams to integrate search and GenAI capabilities into web portals, internal tools, and customer-facing applications using appropriate SDKs and APIs.
- Define and implement security and access models, ensuring search results respect data access policies, sensitivity labels, regulatory constraints, and privacy requirements.
- Lead client-facing architecture and consulting engagements, presenting solution designs, conducting technical workshops, and advising stakeholders on GenAI search strategy and roadmap.
- Monitor search system health by tracking relevance metrics, query latency, index freshness, and grounding quality, and recommend remediation to maintain high availability.
- Conduct capacity planning and performance testing for search and GenAI workloads, predicting growth patterns and optimizing resource utilization across cloud environments.
- Create detailed technical documentation for architectures, configurations, and runbooks, enabling operations teams to support and evolve search platforms efficiently.
- Provide guidance on migration strategies from legacy search platforms to Azure AI Search and Copilot-based solutions, minimizing disruption and ensuring continuity of critical services.
- Mentor junior engineers and architects on GenAI search technologies, design patterns, and best practices, fostering a culture of technical excellence and knowledge sharing.
**Required Skills**
- Hands-on expertise with Azure AI Search (index design, skillsets, semantic and vector search, scoring profiles).
- Hands-on experience with Microsoft 365 Copilot search, Graph connectors, and semantic index integration.
- Proven experience designing GenAI search solutions, including RAG architectures and embedding-based retrieval.
- Strong background in search architecture and solution design for enterprise environments.
- Demonstrated client-facing architecture and consulting engagement experience.
The Key Skills are Azure AI Search, Microsoft 365 Copilot Search
along with GenAI search solutions, Search Architecture , Solution Design, Client-facing architecture, and consulting engagements.
Tech Filter :
Skill/ Position title Sub skills and details Requirement Level of hire Location
Azure AI/M365 Copilot Search Architect Total exp 5-10+ Years M PAN India
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Progress OpenEdge Developers • Develop and maintain applications using Progress OpenEdge Advanced Business Language (“ABL”).
• Develop and maintain Representational State Transfer (“REST”) Application Programming Interface (“API”) utilizing Progress App Server for OpenEdge (“PASOE”).
• Design, code, test, and debug complex software solutions.
• Collaborate with cross functional teams to gather and analyze requirements.
• Troubleshoot and resolve software defects and issues.
• Optimize application performance and ensure scalability.
• Participate in code reviews and ensure adherence to best practices.
• Create and maintain technical documentation.
Responsibilities
Progress OpenEdge Developers • Develop and maintain applications using Progress OpenEdge Advanced Business Language (“ABL”).
• Develop and maintain Representational State Transfer (“REST”) Application Programming Interface (“API”) utilizing Progress App Server for OpenEdge (“PASOE”).
• Design, code, test, and debug complex software solutions.
• Collaborate with cross functional teams to gather and analyze requirements.
• Troubleshoot and resolve software defects and issues.
• Optimize application performance and ensure scalability.
• Participate in code reviews and ensure adherence to best practices.
• Create and maintain technical documentation.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
– Fulfillment Primary Experience 8+ years Role Overview The Solution Architect - Demand & Fulfillment (Retail) – Fulfillment Primary will lead solution architecture, business process design, implementation, migration, testing, and training for Blue Yonder retail planning solutions, with primary emphasis on Fulfillment and supporting Demand processes. This role is best suited for a consultant/architect with strong retail planning experience, customer-facing solution design capabilities, and understanding of cloud-native BY SaaS applications. Key Responsibilities
• Lead solution design for Blue Yonder Demand & Fulfillment implementations in retail organizations, with Fulfillment as the primary focus area.
• Analyze existing customer solutions and define migration approaches to BY Cognitive Planning / Azure cloud environments.
• Conduct business process analysis and drive design/construction activities leading to functional solution specifications.
• Work with customer teams to define planning and fulfillment processes, integration touchpoints, workflows, reports, and data requirements.
• Support PoC/demo design in partnership with presales and solution demonstration teams.
• Create reusable templates and accelerators that reduce implementation effort and improve support operations.
• Execute and support testing, validation, and end-to-end solution verification.
• Prepare and deliver customer presentations, workshops, and training sessions. • Support go-live planning, user adoption, and knowledge transition to support teams.
• Provide recommendations on retail best practices and planning/fulfillment process improvements.
• Collaborate with PMs, PD, PMG, partners, and consultants for issue resolution and product enhancement feedback. Required Skills & Experience
• 8+ years of experience as a solution architect, planning consultant, or business consultant.
• Strong experience in Blue Yonder / JDA Demand & Fulfillment solutions. • Strong retail domain expertise, ideally across:
• fulfillment and replenishment
• demand planning
• inventory flow
• store/channel fulfillment
• Demonstrable experience in retail planning implementations.
• Understanding of:
• database concepts
• Snowflake
• Azure
• SaaS architecture
• DevOps operations
• Strong business analysis and customer workshop skills.
• Ability to bridge business process discussions and technical design discussions.
• Exposure to AI/ML, forecasting concepts, and data-driven planning approaches preferred. Preferred Skills
• Experience in grocery, fashion, or specialty retail domains.
• Understanding of time series forecasting.
• Experience with similar supply chain planning platforms such as o9, Kinaxis, Oracle, SAP.
• Relevant industry certifications are a plus. Professional Attributes
• Strong communication, presentation, and customer engagement skills
• Strong analytical and problem-solving ability
• Strong collaboration across cross-functional teams
• Ability to work independently and proactively
• Flexible with overlapping time zones
Responsibilities
– Fulfillment Primary Experience 8+ years Role Overview The Solution Architect - Demand & Fulfillment (Retail) – Fulfillment Primary will lead solution architecture, business process design, implementation, migration, testing, and training for Blue Yonder retail planning solutions, with primary emphasis on Fulfillment and supporting Demand processes. This role is best suited for a consultant/architect with strong retail planning experience, customer-facing solution design capabilities, and understanding of cloud-native BY SaaS applications. Key Responsibilities
• Lead solution design for Blue Yonder Demand & Fulfillment implementations in retail organizations, with Fulfillment as the primary focus area.
• Analyze existing customer solutions and define migration approaches to BY Cognitive Planning / Azure cloud environments.
• Conduct business process analysis and drive design/construction activities leading to functional solution specifications.
• Work with customer teams to define planning and fulfillment processes, integration touchpoints, workflows, reports, and data requirements.
• Support PoC/demo design in partnership with presales and solution demonstration teams.
• Create reusable templates and accelerators that reduce implementation effort and improve support operations.
• Execute and support testing, validation, and end-to-end solution verification.
• Prepare and deliver customer presentations, workshops, and training sessions. • Support go-live planning, user adoption, and knowledge transition to support teams.
• Provide recommendations on retail best practices and planning/fulfillment process improvements.
• Collaborate with PMs, PD, PMG, partners, and consultants for issue resolution and product enhancement feedback. Required Skills & Experience
• 8+ years of experience as a solution architect, planning consultant, or business consultant.
• Strong experience in Blue Yonder / JDA Demand & Fulfillment solutions. • Strong retail domain expertise, ideally across:
• fulfillment and replenishment
• demand planning
• inventory flow
• store/channel fulfillment
• Demonstrable experience in retail planning implementations.
• Understanding of:
• database concepts
• Snowflake
• Azure
• SaaS architecture
• DevOps operations
• Strong business analysis and customer workshop skills.
• Ability to bridge business process discussions and technical design discussions.
• Exposure to AI/ML, forecasting concepts, and data-driven planning approaches preferred. Preferred Skills
• Experience in grocery, fashion, or specialty retail domains.
• Understanding of time series forecasting.
• Experience with similar supply chain planning platforms such as o9, Kinaxis, Oracle, SAP.
• Relevant industry certifications are a plus. Professional Attributes
• Strong communication, presentation, and customer engagement skills
• Strong analytical and problem-solving ability
• Strong collaboration across cross-functional teams
• Ability to work independently and proactively
• Flexible with overlapping time zones
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Solution Architect - Demand & Fulfillment (Retail)
